Tool-tip: Multi-scale terrain analysis

#Terrain is inherently #multiscale, with features and surface variations that must be analyzed across a range of spatial scales. New tools in #ArcGISPro 3.4 and 3.5 along with advanced options in #SAGA GIS and #LandSerf, make it possible to compute multi-scale surface metrics for more nuanced #terrainanalysis.
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May 14, 2025

Terrain is a multi-scale (or even fractal1) phenomenon. Thus, with Wood (1996)2 we can state:

It would seem ludicrous to only consider surface variation at a fixed scale when an assessment of an entire landscape is desired. Our own judgements both scientifically and “intuitively” rely on an appreciation of landscape at a variety of scales simultaneously.

Multi-scale maximum curvature computed over the range of 3-by-3 to 11-by-11 neighborhoods (source: Geländeanalysen 2.03)

Thus, it is interesting that ArcGIS Pro 3.4 and 3.5 add functions for computing the multi-scale surface percentile, the multi-scale surface difference, and the multi-scale surface deviation, respectively.

More advanced geomorphometric parameters such as multi-scale surface shape classification, various kinds of multi-scale curvatures, and more can be computed using SAGA GIS (e.g. through QGIS with the appropriate plug-in) or using LandSerf by the afore-mentioned Jo Wood.

Footnotes

  1. The fractal dimension of a terrain surface can be estimated (similarly to the more famous example regarding the fractal dimension of coastlines). In fact, I have done so for Switzerland using Swisstopo DEMs years ago. But that nugget of information is lost to the implosion of Twitter.↩︎

  2. Cf. also pp. 45 here↩︎

  3. Transparency note: Link points to an article by myself on the blog of my employer.↩︎